MING Anlong, MA Huadong. A Hessian-Laplace Based Blob Detector forStamp Image Classification[J]. Chinese Journal of Electronics, 2010, 19(4): 671-675.
Citation: MING Anlong, MA Huadong. A Hessian-Laplace Based Blob Detector forStamp Image Classification[J]. Chinese Journal of Electronics, 2010, 19(4): 671-675.

A Hessian-Laplace Based Blob Detector forStamp Image Classification

  • Received Date: 2009-03-01
  • Rev Recd Date: 2009-12-01
  • Publish Date: 2010-11-25
  • Blob features are usually used as texturedescriptors for object classification and most traditionalblob detectors nowadays are luminance-based. However,in many applications we could require a blob detector forthe color domain. In this paper, we propose a novel andefficient framework for the extension from scalar-signals tovector-signals of multi-scale blob detection to prevent informationloss due to gray scale transformation. Then, wepresent a blob detector for stamp image classification todistinguish the stamp types. In our experiments, we compareour method to other approaches. The experimentalresults demonstrate the effectiveness of our proposed detector.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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